课程: Data-Driven Decisions in Business Operations

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Address data quality issues

Address data quality issues

课程: Data-Driven Decisions in Business Operations

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Address data quality issues

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Imagine trying to solve a complex puzzle with missing or mismatched pieces. Frustrating, right? Now, think about making critical business decisions with flawed data. Without ongoing data quality measures, even the best laid plans can fall apart. Continuous data quality is important for reliable analysis and effective decision-making. In this lesson, you'll learn strategies to identify and mitigate data quality issues, ensuring your analysis remains reliable and accurate over time. To maintain high data quality, start by defining and monitoring data quality metrics such as accuracy, completeness, consistency, timeliness, and uniqueness. Then automate data quality processes using tools and software to handle validation, cleaning and transformation, reducing human errors and ensuring consistency. Next, designate team members as data stewards to oversee data quality within specific departments. In addition to the data stewards, you can establish data quality committees with stakeholders…

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